Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/leopu00/job-hunter-teamnpx agentmods add skills/leopu00/job-hunter-team/location-enrichmentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/leopu00/job-hunter-team/location-enrichment)<a href="https://agentmods.dev/skills/leopu00/job-hunter-team/location-enrichment"><img src="https://agentmods.dev/badge/skills/leopu00/job-hunter-team/location-enrichment/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leopu00/job-hunter-team/location-enrichment"><img src="https://agentmods.dev/badge/skills/leopu00/job-hunter-team/location-enrichment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 248 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.02701 |
| Opus 5 | $0.00043 | $0.01350 |
| Sonnet 5 | $0.00017 | $0.00540 |
| Haiku 4.5 | $0.00009 | $0.00270 |
Grade A, and why
location-enrichment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
location-enrichment — location + role_family structuring playbook
The Analista fills 11 columns of the positions table BEFORE
marking status=checked. Never leave a position checked without
location enrichment.
The 11 columns to fill
role_family text semantic category of the role
loc_city text office city (NULL if country only)
loc_region text region/state (optional)
loc_country text physical office country (NULL if continent only)
loc_country_code text ISO-3166 alpha-2: IT, IE, HU, ...
loc_continent text Europe | Asia | Americas | Africa | Oceania
work_mode text onsite | hybrid | remote
work_country text contracting country (the signing entity) — NEVER NULL
work_country_code text ISO-2 of work_country
is_multi_location bool true if the JD lists several cities/countries
location_notes text analyst free-text notes
Behavioural RULES (CRITICAL — sim 1-2 found problems here)
R1 — One position at a time (NO BATCH)
Process your range one position per turn: read the JD → reason → db-update → status=checked → next. Do NOT load 20+ JDs in a single LLM turn. Exception: 3-5 trivial cases with no web search (e.g. "Dublin, Ireland" + hybrid).
Why: a 17k+ token batch (sim 1) produces generic responses ("multi-location + remote + EU") instead of data specific to each record. And the other analysts spin idle during your mega-turn.
R2 — Peer DB taxonomy lookup (every 5-10 records)
BEFORE picking a role_family value, check what your colleagues
have used:
python3 /app/shared/skills/db_query.py raw \
"SELECT role_family, COUNT(*) AS n FROM positions
WHERE role_family IS NOT NULL
GROUP BY role_family ORDER BY n DESC"
If you find a semantically equivalent family, ALIGN to their name. Wrong examples seen in sim 1:
✗ "Translation / Localization" vs "Localization / Language Quality"
vs "Language / Localization" → only one
✗ "Customer Support" vs "Customer Success / Technical"
vs "Technical Support" → only one
✗ "Technical Engineering" for a Technical Writer → wrong
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 293 lines · 86 tokens per session scan A 19ce635237e3
location-enrichment is a skill published in the GitHub repository leopu00/job-hunter-team (49 stars, last pushed yesterday), licensed MIT. It adds 86 tokens to every session and 2,701 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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